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Review

Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles

1
Department of Energy and Process Engineering & ENERSENSE, NTNU, 7491 Trondheim, Norway
2
Department of Electronic Systems & ENERSENSE, NTNU, 7491 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Academic Editor: Woojin Choi
Energies 2021, 14(11), 3284; https://doi.org/10.3390/en14113284
Received: 14 April 2021 / Revised: 14 May 2021 / Accepted: 1 June 2021 / Published: 4 June 2021
(This article belongs to the Special Issue Advanced Technology to Improve Energy Efficiency and Storage)
Energy storage systems (ESSs) are critically important for the future of electric vehicles. Despite this, the safety and management of ESSs require improvement. Battery management systems (BMSs) are vital components in ESS systems for Lithium-ion batteries (LIBs). One parameter that is included in the BMS is the state-of-charge (SoC) of the battery. SoC has become an active research area in recent years for battery electric vehicle (BEV) LIBs, yet there are some challenges: the LIB configuration is nonlinear, making it hard to model correctly; it is difficult to assess internal environments of a LIB (and this can be different in laboratory conditions compared to real-world conditions); and these discrepancies can lead to raising the instability of the LIB. Therefore, further advancement is required in order to have higher accuracy in SoC estimation in BEV LIBs. SoC estimation is a key BMS feature, and precise modeling and state estimation will improve stable operation. This review discusses current methods use in BEV LIB SoC modelling and estimation. The review culminates in a brief discussion of challenges in BEV LIB SoC prediction analysis. View Full-Text
Keywords: lithium-ion battery; state-of-charge; modelling; battery management systems lithium-ion battery; state-of-charge; modelling; battery management systems
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MDPI and ACS Style

Espedal, I.B.; Jinasena, A.; Burheim, O.S.; Lamb, J.J. Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles. Energies 2021, 14, 3284. https://doi.org/10.3390/en14113284

AMA Style

Espedal IB, Jinasena A, Burheim OS, Lamb JJ. Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles. Energies. 2021; 14(11):3284. https://doi.org/10.3390/en14113284

Chicago/Turabian Style

Espedal, Ingvild B., Asanthi Jinasena, Odne S. Burheim, and Jacob J. Lamb. 2021. "Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles" Energies 14, no. 11: 3284. https://doi.org/10.3390/en14113284

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